人工智能在头颈动脉粥样硬化斑块高分辨磁共振血管壁成像中的应用进展
Progress of artificial intelligence application in high-resolution magnetic resonance angiography of head and neck atherosclerotic plaque
刘洁 1欧阳烽 1吕联江 1徐紫荷 1曾献军1
作者信息
- 1. 南昌大学第一附属医院影像科,江西省医学影像临床医学研究中心,南昌 330006
- 折叠
摘要
目前头颈部动脉粥样硬化疾病是亚洲人群发生缺血性脑卒中最主要的原因,卒中患者常常面临严重的预后问题.近年来,随着人工智能(artificial intelligence,AI)的迅猛发展、影像组学及深度学习等在医学影像中的广泛研究及应用,AI在疾病的检出、精准评估等有着重要价值.本文就AI在头颈动脉粥样硬化高分辨磁共振血管壁成像(high resolution magnetic resonance-vessel wall imaging,HR-VWI)中斑块的分割、明确斑块的性质、相应的脑血管事件预测研究进展进行综述,旨在介绍近年AI在该疾病的发展现状及面临问题,为动脉粥样硬化患者卒中风险分层评估以及个体化治疗提供研究方向.
Abstract
Currently,Atherosclerosis of the head and neck is the leading cause of ischemic stroke in Asian populations,and stroke patients often face serious prognosis problems. With the rapid development of artificial intelligence (AI) in recent years,and the extensive research and application of imaging histology and deep learning in medical imaging,AI has an important value in disease detection and accurate assessment. In this paper,we reviewed the research progress on plaque segmentation,clear plaque properties,and corresponding cerebrovascular event prediction of AI in high resolution magnetic resonance-vessel wall imaging (HR-VWI),aiming to introduce the current development status and problems faced by AI in this disease in recent years,and provide research direction for stratified stroke risk assessment and individualized treatment in patients with atherosclerosis.
关键词
人工智能/磁共振成像/动脉粥样硬化/影像组学/深度学习Key words
artificial intelligence/magnetic resonance imaging/atherosclerosis/radiomics/deep learning引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据